图像拼接

hough变换检测椭圆，先进行二值化检测边缘(hough u53D8 u6362 u68C0 u6D4B u692D u5706 uFF0C u5148 u8FDB u884C u4E8C u503C u5316 u68C0 u6D4B u8FB9 u7F18)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

说明：  提取亚像素精度的中心线的线检测算法，适用于线结构光的中心提取(Line detection algorithm for extracting sub-pixel centerline is suitable for extracting the centerline of line structured light.)

两种不同量化步长的图像采样编码重够后的图像比较(Comparison of the two different images of the image sample quantization step size after encoding the heavy enough)

利用fastICA算法实现了两幅图像的分离。内附源图像文件（两种）。同时还利用峰值信噪比PSNR和性能指标PI实现了对分离效果的评价。原创代码。(fastICA algorithm is uesd in seperating the mixed images.)

基于区域的主动轮廓模型算法，是论文《Active Contours Without Edges》的VC算法实现(Region-based active contour model algorithm, for the paper " Active Contours Without Edges" of the VC algorithm)

说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

自己编写的广义霍夫变换，里面有测试图片，可以作为学习霍夫变换的入门(I have written a generalized Hough transform, there are test images, the Hough transform can be started as a learning)

说明：  文件有几个基于视网膜的图像增强技术，有SSR，MSR代码(There are several image enhancement technologies based on retina, including SSR and MSR codes.)

该程序用来实现对图片的多级小波分解！提取多级分解后各子带的小波系数！(The program is used to achieve multi-level wavelet decomposition of an image! And extraction of multi-level decomposition of the wavelet coefficients of each sub-band! )